Offer summary

Qualifications:

High school diploma or equivalent required., 3+ years of experience in backend development using Python in a production environment., Proficient in Python packages such as NumPy, Pandas, and SciPy, along with strong SQL skills., Strong communication skills and ability to document complex codebases clearly..

Key responsabilities:

Understand and maintain existing Python Rating Engine tools.

Investigate data transformation workflows using SQL and Python.

Document the system's logic and lead knowledge transfer sessions.

Enhance tools as required and produce diagrams to convey complex logic simply.

Job description

Job Summary:
DT Professional Services is seeking a highly skilled Python Backend Engineer to join our team in a remote capacity! This role is focused on understanding a production-level system along with maintaining and enhancing the system. The system uses object-oriented programming to ingest data from SQL databases and applies heuristic, rule-based logic to produce structured outputs. The ideal candidate will excel at data manipulation using Python packages such as pandas, be able to diagnose problems, train others, and document their work in a clear, digestible format.

Responsibilities:

Understand and maintain existing Python Rating Engine tools
Investigate and explain data transformation workflows using SQL and Python (Pandas, NumPy, SciPy)
Document the system's logic, structure, and purpose in a clean and structured format
Lead knowledge transfer sessions with the hiring manager and relevant stakeholders
Enhance the current tool as required per the Home product rating structure
Produce diagrams, flowcharts, and documentation to convey complex logic simply
Identify potential areas for refactoring or improvement (optional)
Be available to diagnose and resolve coding problems

Basic Qualifications:

High school diploma or equivalent
3+ years of experience in backend development using Python in a production environment.
Must be proficient in NumPy, Pandas, SciPy, and object-oriented programming
Strong knowledge of data manipulation and transformation using Pandas, NumPy, SciPy
Proficiency with SQL for data extraction and analysis
Proven experience reading and documenting complex codebases
Strong communication skills with a focus on clarity and education
Ability to work independently and manage time across asynchronous check-ins

Knowledge of Tech Stack / Tools:

Python (NumPy, Pandas, SciPy)
SQL (PostgreSQL or MySQL preferred)
Github
Jupyter notebook
Experience with production systems and deployment environments

Preferred Qualifications:

Experience working with rules-based or heuristic systems
Familiarity with rule engines or decision frameworks
Experience with Insurance data (preferably personal home insurance)

The compensation range for this position: $64.00 - $71.00/hour.

More about DT Professional Services:

We’re looking for driven individuals to contribute to our talented & innovative team! At DT Professional Services, we offer insurance benefits that include medical, dental, and vision coverage, life insurance, long & short-term disability, 401(k) retirement plans (with employer match), tuition & certificate reimbursement, along with paid time off (vacation/sick/holidays). We are happy to offer growth opportunities in your career - your success is our success!

DT Professional Services is an SBA 8(a) and HUBZone certified Small Business. Highly experienced in building award-winning custom software solutions. Established in 2013, we bring over a decade of experience delivering technology services and solutions that specialize in web & custom application development, project & program management, mobile & cloud computing services.

Our Mission is to provide cutting-edge, customer-oriented technology solutions that maximize value, drive engagement, and empower your business. We do this by employing talented & driven individuals who share the same goals and excitement for the work we do. DT Professional Services believes in fostering collaboration, career growth and building lasting relationships with our employees.

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